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Dataset Information

Peer groups for organisational learning: Clustering with practical constraints.


ABSTRACT: Peer-grouping is used in many sectors for organisational learning, policy implementation, and benchmarking. Clustering provides a statistical, data-driven method for constructing meaningful peer groups, but peer groups must be compatible with business constraints such as size and stability considerations. Additionally, statistical peer groups are constructed from many different variables, and can be difficult to understand, especially for non-statistical audiences. We developed methodology to apply business constraints to clustering solutions and allow the decision-maker to choose the balance between statistical goodness-of-fit and conformity to business constraints. Several tools were utilised to identify complex distinguishing features in peer groups, and a number of visualisations are d

SUBMITTER: Kennedy DW 

PROVIDER: S-EPMC8168890 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature